Abstract—Minimizing the wirelength plays an important role in physical design automation of very large scale integration(VLSI) chips. The objective of wirelength minimization can be achieved by finding an optimal solution for VLSI physical design components like partitioning and floorplanning. In VLSI circuit partitioning, the problem of obtaining a minimum delay have prime importance. In VLSI circuit floorplanning the problem of minimizing silicon area is also a hot issue. Reducing the minimum delay in partitioning and area in floorplanning helps to minimize the wirelength. The enhancements in partitioning and floorplanning has influence on other criteria like power, cost, clock speed etc. Memetic Algorithm (MA) is an Evolutionary Algorithm that includes one or more local search phases within its evolutionary cycle to obtain the minimum wirelength by reducing delay in partitioning and by reducing area in floorplanning.MA applies some sort of local search for optimization of VLSI partitioning and floorplanning. The algorithm combines a hierarchical design technique like genetic algorithm and constructive technique like Simulated Annealing for local search to solve VLSI partitioning and floorplanning problem. MA can quickly produce optimal solutions for the popular benchmark.

Index Terms—Partition problem, floor plan, problem, saga.

I. H. Shanavas is with M.V.J College of Engineering, Bangalore -560067, India and Research Scholar, Anna University, Coimbatore, India(e-mail:hameemshan@gmail.com)
R. K. Gnanamurthy is Professor, Vivekanandha College of Engineering for Women, Trichengode-637205, India and Research Supervisor, Anna University, Coimbatore, India. (e-mail:rkgnanam@yahoo.co.in)

Cite: I. Hameem Shanavas and R. K. Gnanamurthy, "Physical Design Optimization Using Evolutionary Algorithms," International Journal of Computer and Electrical Engineering vol. 4, no. 3, pp. 373-379, 2012.